Regional Income Inequality and Convergence Processes in the EU-25
AbstractThis paper deals with the development of regional income disparities and convergence processes in the countries of the European Union. Overall, 861 regions – mainly at the regional level NUTS-3 – of the EU enlarged in May 2004 are analysed for the period 1995 - 2003. We use the two classical concepts of s – and ß-convergence. Furthermore, spatial econometric methods were applied in order to identify existing spatial interaction and to control effects of spatial autocorrelation. The analyses show that poorer regions mainly situated in the European periphery have tended to grow faster than the relatively rich European core regions. However, this catching-up process has been painfully slow and it has been driven mainly by national factors. Particularly, national growth rates in the new member states have been dominated by very dynamic metropolitan areas that had experienced relatively high income levels already at the outset in 1995. As a consequence, in the course of a general catching-up process, regional disparities within the new member countries have increased. --
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Bibliographic InfoPaper provided by Hamburg Institute of International Economics (HWWA) in its series HWWA Discussion Papers with number 355.
Date of creation: 2006
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Web page: http://www.econstor.eu/handle/10419/20
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regional inequality; convergence; EU-25; regional interactions; spatial econometrics;
Find related papers by JEL classification:
- O11 - Economic Development, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
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